©The Author(s) 2025.
Artif Intell Gastroenterol. Nov 8, 2025; 6(3): 107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Table 9 Comparison of artificial intelligence (computer-assisted diagnosis eye function) findings with histopathology results in non-sessile polyps
| Examination result | Histopathology | |||
| Hyperplastic | Neoplastic | Total | ||
| Computer-assisted diagnosis eye | Hyperplastic | 4 | 2 | 6 |
| Neoplastic | 3 | 16 | 19 | |
| Total | 7 | 18 | 25 | |
| Sensitivity (%) | 57.14 | |||
| Specificity (%) | 88.89 | |||
| Positive predictive value (%) | 66.67 | |||
| Negative predictive value (%) | 84.21 | |||
| Accuracy | 80.00 | |||
- Citation: Asputra H, Maulahela H, Fauzi A, Rumende CM, Pitarini A, Sari NK, Shatri H. Diagnostic value of artificial intelligence computer-assisted diagnosis (computer assisted-diagnosis eye function) for colorectal polyps. Artif Intell Gastroenterol 2025; 6(3): 107528
- URL: https://www.wjgnet.com/2644-3236/full/v6/i3/107528.htm
- DOI: https://dx.doi.org/10.35712/aig.v6.i3.107528